Occurrence of both subspecies of <i>Photobacterium damselae</i> in mullets collected in the river Magra (Italy)
Bibliographic record
Abstract
The natural reservoirs and biological characteristics of pathogenic populations of both subspecies of Photobacterium damselae in aquatic habitants remain unclear because of difficulties in obtaining pathogenic strains from the environment. In the present study, we assessed the occurrence of Photobacterium damselae subsp. piscicida and Photobacterium damselae subsp. damselae , considered to be the causative agent of past epizootic outbreaks in mullets collected in the river Magra, Italy. Two hundred and seventy-eight mullets were collected during a period of two years (2008-2009) and analyzed using multiplex PCR. During this period, 57% of fishes were positive for Photobacterium damselae subsp. piscicida and 37% for Photobacterium damselae subsp. damselae, with an higher presence in summer months although none of PCR-positive mullets showed clinical signs of disease. Our results indicate that the two micro-organisms are widespread in the population of mullets studied, and this could be a possible cause for outbreaks in favourable environmental conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".